Literature Cited

CDC (Centers for Disease Control). 1992. Guidelines for the performance of CD4+ T-cell determinations in persons with human immunodeficiency virus infections. Morb. Mortal. Wkly. Rep. 41(RR-8):1-17.

Knapp, W., Dorken, B., Gilks, W.R., Reiber, E.P., Schmidt, R. E., Stein, H., and von dem Borne,

Multidimensional Data Analysis in Immuno-phenotyping

Figure 10.4.5 Multidimensional analysis of peripheral blood stained with CD8, CD4, and CD45. The data file is the same as in Figure 10.4.1. In B, monocytes (mono) and myeloid cells are colored green and yellow. In C, CD8+ lymphocytes have been identified by excluding cells colored green or yellow. In D, CD4+ lymphocytes have been identified by excluding the green and yellow events. Blue and red events define the lymph region in B. All events are depicted in E, whereas only those that were in lymph (B) are displayed in F. See color figure.

A.E.G.Kr. 1989. Leukocyte Typing IV, White Cell Differentiation Antigens. Oxford University Press, Oxford, U.K.

Loken, M.R., Civin, C.I., Shah, V.O., Fackler, M.O., Segers-Nolten, I., and Terstappen, L.W.M.M. 1992. Characterization of erythroid, lymphoid, and monomyeloid lineages in normal human bone marrow. In Flow Cytometry in Hematology (O.D. Laerum and R. Laerum, eds.) pp. 31-42. Academic Press, London.

Stelzer, G.T., Shults, K.E., and Loken, M.R. 1993. CD45 gating for routine flow cyometric analysis of human bone marrow specimens. Ann. N.Y. Acad. Sci. 677: 265-280.

Terstappen, L.W.M.M., Civin, C.I., Shah, V.O., Hurwitz, C.A., and Laerum, M.R. 1989. Multidi mensional flow cytometry as a new approach for discrimination between normal and leukemic cells in peripheral blood and bone marrow. In Progress in Cytometry (A. Jansen, ed.) pp. 4-29. Becton Dickinson, Erembodegem, Belgium, and San Jose, Calif.

Terstappen, L.W.M.M. and Loken, M.R. 1992. Leukocyte differential counting. In Flow Cytometry in Hematology (O.D. Laerum and R. Laerum, eds.) pp. 95-110. Academic Press, London.

Contributed by Michael R. Loken HematoLogics, Inc.

Fred Hutchinson Cancer Research Center Seattle, Washington

Data Processing and Analysis

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